|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "id": "84d1c60b", |
| 6 | + "metadata": {}, |
| 7 | + "source": [ |
| 8 | + "# Aligned learning outcomes\n", |
| 9 | + "\n", |
| 10 | + "_Aligned using the revised version of Blooms taxonomy (Anderson et al. 2001)_\n", |
| 11 | + "\n", |
| 12 | + "1. Identify practical challenges of planning sea-based research, such as:\n", |
| 13 | + "\n", |
| 14 | + "- Availability and capabilities of research vessels and equipment, e.g. ice breaker vessel needed, infrastructure for equipment available\n", |
| 15 | + "- General logistics, e.g. transportation of container labs and other equipment\n", |
| 16 | + "- Requesting permits\n", |
| 17 | + " - Travel permits for staff\n", |
| 18 | + " - Diplomatic clearance (EEZ)\n", |
| 19 | + " - Customs documents\n", |
| 20 | + "- Safety trainings (beforehand and onboard)\n", |
| 21 | + "- Preparing, testing and transporting equipment\n", |
| 22 | + "\n", |
| 23 | + "2. Be aware of (describe) matters during sea-based research, such as:\n", |
| 24 | + "\n", |
| 25 | + "- Contingency due to weather conditions and other unforeseen circumstances\n", |
| 26 | + "- The need to be flexible and patient\n", |
| 27 | + "- Taking notes, recording coordinates, stations, casts\n", |
| 28 | + "- Measurement protocols\n", |
| 29 | + "- Communication with crew, e.g. captain, winch driver\n", |
| 30 | + "- Living at sea, e.g. sea legs, seasickness, relaxation, water/energy/waste footprint\n", |
| 31 | + "\n", |
| 32 | + "3. Give examples of uncertainty and variability of sea-based observations, such as:\n", |
| 33 | + "\n", |
| 34 | + "- Likely errors or wrong values, and seeing the data through the noise\n", |
| 35 | + "- Time and date coordinates, e.g. UTC, local time, ship time\n", |
| 36 | + "- Variability and limitations of measurements\n", |
| 37 | + "- Different scales of variability, e.g. tidal, seasonal\n", |
| 38 | + "- ‘Synopticity’ of measurements (i.e. not possible to measure with one ship at multiple locations at the same time; therefore mixing time and space variability)\n", |
| 39 | + "- Instrument specific qualities, e.g. ADCP reflection\n", |
| 40 | + "\n", |
| 41 | + "4. Learn how to analyse and interpret sea-based observations. Be able to:\n", |
| 42 | + "\n", |
| 43 | + "- Read in different data formats, e.g. nc, csv, zarr\n", |
| 44 | + "- Manipulate arrays and other data structures in python\n", |
| 45 | + "- Create and interpret density/TS profiles\n", |
| 46 | + "- Create spatial temperature/salinity/velocity maps, do GIS things\n", |
| 47 | + "- Interpret plots and deduce ocean circulation\n", |
| 48 | + "- Report findings\n", |
| 49 | + "- Contribute to a cruise report with pictures or plots\n", |
| 50 | + "\n", |
| 51 | + "5. Plan a research cruise. Be able to:\n", |
| 52 | + "\n", |
| 53 | + "- Formulate research questions\n", |
| 54 | + "- Select sampling sites\n", |
| 55 | + "- Consider the duration of deployments, e.g. time a CTD station takes\n", |
| 56 | + "- Decide on on-site measurement order\n", |
| 57 | + "- Plan rest/working shifts for scientific personnel\n", |
| 58 | + "- Deal with contingency, e.g. consider what sites/measurements are essential, which are ok to skip" |
| 59 | + ] |
| 60 | + } |
| 61 | + ], |
| 62 | + "metadata": { |
| 63 | + "language_info": { |
| 64 | + "name": "python" |
| 65 | + } |
| 66 | + }, |
| 67 | + "nbformat": 4, |
| 68 | + "nbformat_minor": 5 |
| 69 | +} |
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